Python Courses

What is Python?

Python is mainstream, but why? It definitely isn’t the only programming language in the world. So what makes it so special?

First thing’s first: we have to get some background details about Python to understand why it is in such a good spot right now.

Python is a high-level programming language developed in the late 1980s by Guido Van Rossum. He intended for Python to look like the English language, making it less intimidating to learn and easier on the eye. Unnecessary syntax, such as the semicolon at the end of each line, was eliminated to make it look clean and readable.

Python is also open-source, meaning that its source code is accessible and is free to tweak. This also gives a lot more freedom to developers to create libraries and share them with the world.

Another thing that makes Python beginner-friendly is its documentation. Syntax, semantics, and other details are well-documented. If all else fails, Python’s huge community is there to help. Beginners and experts alike tend to frequent Python forums and are welcome to discuss coding-related concerns.

Additionally, there are hundreds of online Python courses available to get you started.

How it’s used

Python, despite being a server-side language, can be used for a wide variety of applications.

For starters, it’s widely used in the data science field, mainly because you don’t need a computer science degree to be able to understand and use the language. Once any statistician or data expert learns the basics, it’ll all be smooth sailing from there! No fumbling over incorrect syntax– the brain can jump straight into solving the actual problem at hand.

Python is also a popular choice when it comes to machine learning (ML) and artificial intelligence (AI). This popularity is also attributed to its readability. Complex concepts and calculations are constantly encountered in AI, so it is a huge help that the language itself reduces the computational overhead dealt with by the brain.

Let’s not forget that Python was also created as a general-purpose language. This means that the usual desktop applications and web applications can be created by harnessing the power of Python. You can even automate scripts and tasks using Python!

Python Career Prospects

Of course, since Python can be applied to almost any type of project, Python programmers are in high demand and are known to be paid a hefty sum. Not only that, there are a lot of Python vacancies.

Due to the versatility of the language, the careers you can pursue as a Python programmer are quite varied. The number of in-demand careers you can choose from makes learning Python a pretty good investment– quite like an all-for-one package.

Listed below are a few of the top hiring jobs you can land once you’ve honed your Python experience.

Python Developer

Ah yes, the Python Developer. This job is still quite broad in itself, making you quite the all around guy or gal if you choose this as your career path. As a Python developer, you can be tasked to create web applications– either frontend or backend work can be done with Python.

Python developers can also be tasked to create desktop applications that run without the need to be connected to the internet.

Python devs can also be tasked with handling database interactions and API frameworks. Sometimes, Python devs can also be tasked to automate tasks and implement security measures across exposed code.

At the very root of their job, Python devs are asked to solve problems in terms of algorithms– all in an efficient manner.

Product Manager

Product managers are the persons in charge of a product or service being developed or maintained by a development team. These product managers know their products like the back of their hand, and conduct research on new features and sometimes even market analysis.

Since the research segment of their responsibilities require data-handling, many businesses have been looking for product managers who know how to utilize Python in their workflow.

Data Scientist

The data scientist’s job is to use machine learning and advanced statistics to be able to predict certain parameters or phenomena using gathered data. As a data scientist, “thinking outside the box” is the norm, as you try to create new relevant data from already existing data.

Predictions and forecasting are extremely important in any business that wants to stay ahead, which makes data science a highly sought after field. This goes for both the employers and the employees.

Python libraries make extrapolating data and machine learning a breeze, so Python skills are a huge advantage in this field!

Data Analyst

The job of the data analyst is to “find meaning within large amounts of data”. These people process millions of units of data in order to see if there are any important connections or relationships among data points. These observations will then be able to help their company make data-backed strategic decisions.

The difference between a data analyst and a data scientist is that an analyst is more focused on already existing data (analysis), while the scientist is focused on data yet to be attained (forecasting).

Since Python has powerful libraries like SciPy and Pandas that can be used for sifting through huge amounts of data, it is a popular tool for data analysis. Recruiters tend to hire those already knowledgeable in Python as it’s considered a huge plus in the field of data analysis.

Financial Analyst

Financial analysts also make good use of the programming language. This allows companies to cut costs and hire a single person instead of two separate people.

Python can be a powerful tool in the hands of a financial analyst. They can code programs that can do predefined calculations on dozens of spreadsheets simultaneously, which saves a lot of time and money.

Since big companies have also been training their financial advisors to be adept at Python, it’s slowly becoming a standard among business and finance majors.

Machine Learning Engineer

Last but not the least, since those that dabble in machine learning widely use Python, it’s not a surprise that the corresponding career requires you to learn the language.

Machine learning engineers are focused on tasks related to training AI, including all the research involved. Their general workload requires a lot of involvement with Python programming, so Python skills are a must.